Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 82620 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 6.9 MiB |
| Average record size in memory | 88.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 1 |
signal_1 is highly correlated with signal_10 | High correlation |
signal_10 is highly correlated with signal_1 and 1 other fields | High correlation |
signal_20 is highly correlated with signal_10 and 2 other fields | High correlation |
signal_30 is highly correlated with signal_20 and 2 other fields | High correlation |
signal_40 is highly correlated with signal_20 and 2 other fields | High correlation |
signal_50 is highly correlated with signal_30 and 1 other fields | High correlation |
signal_1 is highly correlated with signal_10 and 3 other fields | High correlation |
signal_10 is highly correlated with signal_1 and 3 other fields | High correlation |
signal_20 is highly correlated with signal_1 and 3 other fields | High correlation |
signal_30 is highly correlated with signal_1 and 3 other fields | High correlation |
signal_40 is highly correlated with signal_1 and 4 other fields | High correlation |
signal_50 is highly correlated with signal_40 | High correlation |
id is highly correlated with class | High correlation |
signal_1 is highly correlated with signal_10 and 3 other fields | High correlation |
signal_10 is highly correlated with signal_1 and 3 other fields | High correlation |
signal_20 is highly correlated with signal_1 and 3 other fields | High correlation |
signal_30 is highly correlated with signal_1 and 3 other fields | High correlation |
signal_40 is highly correlated with signal_1 and 4 other fields | High correlation |
signal_50 is highly correlated with signal_40 and 1 other fields | High correlation |
signal_60 is highly correlated with signal_50 | High correlation |
class is highly correlated with id | High correlation |
signal_1 is highly skewed (γ1 = 20.85966228) | Skewed |
signal_10 is highly skewed (γ1 = 20.01932846) | Skewed |
signal_20 is highly skewed (γ1 = 22.0093275) | Skewed |
signal_30 is highly skewed (γ1 = 20.54646738) | Skewed |
signal_40 is highly skewed (γ1 = 23.83916772) | Skewed |
Reproduction
| Analysis started | 2022-04-19 10:41:07.594885 |
|---|---|
| Analysis finished | 2022-04-19 10:41:19.413868 |
| Duration | 11.82 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 204 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 101.5 |
| Minimum | 0 |
|---|---|
| Maximum | 203 |
| Zeros | 405 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 50.75 |
| median | 101.5 |
| Q3 | 152.25 |
| 95-th percentile | 193 |
| Maximum | 203 |
| Range | 203 |
| Interquartile range (IQR) | 101.5 |
Descriptive statistics
| Standard deviation | 58.8893763 |
|---|---|
| Coefficient of variation (CV) | 0.5801908995 |
| Kurtosis | -1.200057675 |
| Mean | 101.5 |
| Median Absolute Deviation (MAD) | 51 |
| Skewness | 0 |
| Sum | 8385930 |
| Variance | 3467.958641 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 405 | 0.5% |
| 140 | 405 | 0.5% |
| 130 | 405 | 0.5% |
| 131 | 405 | 0.5% |
| 132 | 405 | 0.5% |
| 133 | 405 | 0.5% |
| 134 | 405 | 0.5% |
| 135 | 405 | 0.5% |
| 136 | 405 | 0.5% |
| 137 | 405 | 0.5% |
| Other values (194) | 78570 |
| Value | Count | Frequency (%) |
| 0 | 405 | |
| 1 | 405 | |
| 2 | 405 | |
| 3 | 405 | |
| 4 | 405 | |
| 5 | 405 | |
| 6 | 405 | |
| 7 | 405 | |
| 8 | 405 | |
| 9 | 405 |
| Value | Count | Frequency (%) |
| 203 | 405 | |
| 202 | 405 | |
| 201 | 405 | |
| 200 | 405 | |
| 199 | 405 | |
| 198 | 405 | |
| 197 | 405 | |
| 196 | 405 | |
| 195 | 405 | |
| 194 | 405 |
TimeStamp
Real number (ℝ≥0)
| Distinct | 405 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 202 |
| Minimum | 0 |
|---|---|
| Maximum | 404 |
| Zeros | 204 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 101 |
| median | 202 |
| Q3 | 303 |
| 95-th percentile | 384 |
| Maximum | 404 |
| Range | 404 |
| Interquartile range (IQR) | 202 |
Descriptive statistics
| Standard deviation | 116.9137807 |
|---|---|
| Coefficient of variation (CV) | 0.5787810924 |
| Kurtosis | -1.200014633 |
| Mean | 202 |
| Median Absolute Deviation (MAD) | 101 |
| Skewness | 0 |
| Sum | 16689240 |
| Variance | 13668.83211 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 204 | 0.2% |
| 267 | 204 | 0.2% |
| 277 | 204 | 0.2% |
| 276 | 204 | 0.2% |
| 275 | 204 | 0.2% |
| 274 | 204 | 0.2% |
| 273 | 204 | 0.2% |
| 272 | 204 | 0.2% |
| 271 | 204 | 0.2% |
| 270 | 204 | 0.2% |
| Other values (395) | 80580 |
| Value | Count | Frequency (%) |
| 0 | 204 | |
| 1 | 204 | |
| 2 | 204 | |
| 3 | 204 | |
| 4 | 204 | |
| 5 | 204 | |
| 6 | 204 | |
| 7 | 204 | |
| 8 | 204 | |
| 9 | 204 |
| Value | Count | Frequency (%) |
| 404 | 204 | |
| 403 | 204 | |
| 402 | 204 | |
| 401 | 204 | |
| 400 | 204 | |
| 399 | 204 | |
| 398 | 204 | |
| 397 | 204 | |
| 396 | 204 | |
| 395 | 204 |
| Distinct | 16116 |
|---|---|
| Distinct (%) | 19.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.005684799455 |
| Minimum | 6 × 10-6 |
|---|---|
| Maximum | 0.88887 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 6 × 10-6 |
|---|---|
| 5-th percentile | 0.00052395 |
| Q1 | 0.001469 |
| median | 0.00291 |
| Q3 | 0.005639 |
| 95-th percentile | 0.014748 |
| Maximum | 0.88887 |
| Range | 0.888864 |
| Interquartile range (IQR) | 0.00417 |
Descriptive statistics
| Standard deviation | 0.0179523563 |
|---|---|
| Coefficient of variation (CV) | 3.157957716 |
| Kurtosis | 623.0392042 |
| Mean | 0.005684799455 |
| Median Absolute Deviation (MAD) | 0.001752 |
| Skewness | 20.85966228 |
| Sum | 469.678131 |
| Variance | 0.0003222870968 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.00135 | 33 | < 0.1% |
| 0.000762 | 32 | < 0.1% |
| 0.001113 | 31 | < 0.1% |
| 0.000816 | 31 | < 0.1% |
| 0.000692 | 30 | < 0.1% |
| 0.001784 | 29 | < 0.1% |
| 0.001372 | 29 | < 0.1% |
| 0.001084 | 29 | < 0.1% |
| 0.00149 | 29 | < 0.1% |
| 0.001594 | 29 | < 0.1% |
| Other values (16106) | 82318 |
| Value | Count | Frequency (%) |
| 6 × 10-6 | 2 | |
| 1 × 10-5 | 1 | < 0.1% |
| 1.1 × 10-5 | 1 | < 0.1% |
| 1.6 × 10-5 | 3 | |
| 1.7 × 10-5 | 1 | < 0.1% |
| 2 × 10-5 | 1 | < 0.1% |
| 2.5 × 10-5 | 2 | |
| 2.6 × 10-5 | 1 | < 0.1% |
| 2.7 × 10-5 | 1 | < 0.1% |
| 2.9 × 10-5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0.88887 | 1 | |
| 0.87945 | 1 | |
| 0.84465 | 1 | |
| 0.7828 | 1 | |
| 0.69484 | 1 | |
| 0.67686 | 1 | |
| 0.65131 | 1 | |
| 0.60312 | 1 | |
| 0.59359 | 1 | |
| 0.58293 | 1 |
| Distinct | 19676 |
|---|---|
| Distinct (%) | 23.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.008572432365 |
| Minimum | 2.4 × 10-5 |
|---|---|
| Maximum | 1.7685 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 2.4 × 10-5 |
|---|---|
| 5-th percentile | 0.000717 |
| Q1 | 0.001906 |
| median | 0.003655 |
| Q3 | 0.00724625 |
| 95-th percentile | 0.02203705 |
| Maximum | 1.7685 |
| Range | 1.768476 |
| Interquartile range (IQR) | 0.00534025 |
Descriptive statistics
| Standard deviation | 0.03333209266 |
|---|---|
| Coefficient of variation (CV) | 3.888288789 |
| Kurtosis | 571.6591607 |
| Mean | 0.008572432365 |
| Median Absolute Deviation (MAD) | 0.002158 |
| Skewness | 20.01932846 |
| Sum | 708.254362 |
| Variance | 0.001111028401 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.00205 | 30 | < 0.1% |
| 0.001067 | 29 | < 0.1% |
| 0.000644 | 28 | < 0.1% |
| 0.001968 | 26 | < 0.1% |
| 0.001324 | 26 | < 0.1% |
| 0.001129 | 26 | < 0.1% |
| 0.002543 | 26 | < 0.1% |
| 0.001318 | 26 | < 0.1% |
| 0.001969 | 25 | < 0.1% |
| 0.001822 | 25 | < 0.1% |
| Other values (19666) | 82353 |
| Value | Count | Frequency (%) |
| 2.4 × 10-5 | 1 | < 0.1% |
| 2.6 × 10-5 | 1 | < 0.1% |
| 3 × 10-5 | 1 | < 0.1% |
| 3.3 × 10-5 | 2 | |
| 3.5 × 10-5 | 2 | |
| 3.7 × 10-5 | 1 | < 0.1% |
| 4.6 × 10-5 | 4 | |
| 5 × 10-5 | 1 | < 0.1% |
| 5.1 × 10-5 | 1 | < 0.1% |
| 5.2 × 10-5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 1.7685 | 1 | |
| 1.5981 | 1 | |
| 1.5002 | 1 | |
| 1.3748 | 1 | |
| 1.3465 | 1 | |
| 1.0973 | 1 | |
| 1.0855 | 1 | |
| 1.0787 | 1 | |
| 0.99724 | 1 | |
| 0.98085 | 1 |
| Distinct | 17782 |
|---|---|
| Distinct (%) | 21.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.009265837328 |
| Minimum | 3 × 10-6 |
|---|---|
| Maximum | 2.6202 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 3 × 10-6 |
|---|---|
| 5-th percentile | 0.000611 |
| Q1 | 0.001624 |
| median | 0.00305 |
| Q3 | 0.005877 |
| 95-th percentile | 0.0204574 |
| Maximum | 2.6202 |
| Range | 2.620197 |
| Interquartile range (IQR) | 0.004253 |
Descriptive statistics
| Standard deviation | 0.0507875661 |
|---|---|
| Coefficient of variation (CV) | 5.481163149 |
| Kurtosis | 659.0755173 |
| Mean | 0.009265837328 |
| Median Absolute Deviation (MAD) | 0.001752 |
| Skewness | 22.0093275 |
| Sum | 765.54348 |
| Variance | 0.002579376871 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.001269 | 30 | < 0.1% |
| 0.002053 | 29 | < 0.1% |
| 0.001221 | 29 | < 0.1% |
| 0.001024 | 29 | < 0.1% |
| 0.001204 | 28 | < 0.1% |
| 0.001123 | 28 | < 0.1% |
| 0.001388 | 28 | < 0.1% |
| 0.001375 | 28 | < 0.1% |
| 0.001452 | 28 | < 0.1% |
| 0.001853 | 27 | < 0.1% |
| Other values (17772) | 82336 |
| Value | Count | Frequency (%) |
| 3 × 10-6 | 1 | |
| 6 × 10-6 | 2 | |
| 1 × 10-5 | 1 | |
| 1.6 × 10-5 | 1 | |
| 1.9 × 10-5 | 1 | |
| 2.5 × 10-5 | 1 | |
| 2.6 × 10-5 | 1 | |
| 2.9 × 10-5 | 1 | |
| 3.1 × 10-5 | 1 | |
| 3.4 × 10-5 | 1 |
| Value | Count | Frequency (%) |
| 2.6202 | 1 | |
| 2.5395 | 1 | |
| 2.1451 | 1 | |
| 2.0083 | 1 | |
| 1.9469 | 1 | |
| 1.938 | 1 | |
| 1.8265 | 1 | |
| 1.8057 | 1 | |
| 1.7708 | 1 | |
| 1.6757 | 1 |
| Distinct | 18625 |
|---|---|
| Distinct (%) | 22.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.01162100154 |
| Minimum | 1.1 × 10-5 |
|---|---|
| Maximum | 3.8421 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 1.1 × 10-5 |
|---|---|
| 5-th percentile | 0.000637 |
| Q1 | 0.001629 |
| median | 0.002971 |
| Q3 | 0.005906 |
| 95-th percentile | 0.02442185 |
| Maximum | 3.8421 |
| Range | 3.842089 |
| Interquartile range (IQR) | 0.004277 |
Descriptive statistics
| Standard deviation | 0.07213075375 |
|---|---|
| Coefficient of variation (CV) | 6.206930919 |
| Kurtosis | 581.0113543 |
| Mean | 0.01162100154 |
| Median Absolute Deviation (MAD) | 0.001683 |
| Skewness | 20.54646738 |
| Sum | 960.127147 |
| Variance | 0.005202845636 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.001557 | 32 | < 0.1% |
| 0.001269 | 31 | < 0.1% |
| 0.001383 | 30 | < 0.1% |
| 0.001195 | 30 | < 0.1% |
| 0.001783 | 30 | < 0.1% |
| 0.001769 | 29 | < 0.1% |
| 0.001717 | 29 | < 0.1% |
| 0.002091 | 29 | < 0.1% |
| 0.001589 | 29 | < 0.1% |
| 0.00166 | 29 | < 0.1% |
| Other values (18615) | 82322 |
| Value | Count | Frequency (%) |
| 1.1 × 10-5 | 2 | |
| 1.4 × 10-5 | 1 | |
| 1.6 × 10-5 | 1 | |
| 1.9 × 10-5 | 1 | |
| 2.4 × 10-5 | 2 | |
| 2.5 × 10-5 | 1 | |
| 2.6 × 10-5 | 2 | |
| 3 × 10-5 | 1 | |
| 3.2 × 10-5 | 2 | |
| 3.3 × 10-5 | 1 |
| Value | Count | Frequency (%) |
| 3.8421 | 1 | |
| 2.9431 | 1 | |
| 2.9277 | 1 | |
| 2.8005 | 1 | |
| 2.7991 | 1 | |
| 2.6069 | 1 | |
| 2.6026 | 1 | |
| 2.5993 | 1 | |
| 2.5142 | 1 | |
| 2.5071 | 1 |
| Distinct | 24998 |
|---|---|
| Distinct (%) | 30.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.01817219336 |
| Minimum | 7 × 10-6 |
|---|---|
| Maximum | 6.2236 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 7 × 10-6 |
|---|---|
| 5-th percentile | 0.000958 |
| Q1 | 0.002496 |
| median | 0.0047425 |
| Q3 | 0.010002 |
| 95-th percentile | 0.042734 |
| Maximum | 6.2236 |
| Range | 6.223593 |
| Interquartile range (IQR) | 0.007506 |
Descriptive statistics
| Standard deviation | 0.1009756214 |
|---|---|
| Coefficient of variation (CV) | 5.556600651 |
| Kurtosis | 882.7853151 |
| Mean | 0.01817219336 |
| Median Absolute Deviation (MAD) | 0.0028165 |
| Skewness | 23.83916772 |
| Sum | 1501.386615 |
| Variance | 0.01019607612 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.002702 | 25 | < 0.1% |
| 0.002843 | 25 | < 0.1% |
| 0.002831 | 23 | < 0.1% |
| 0.00416 | 23 | < 0.1% |
| 0.002447 | 22 | < 0.1% |
| 0.001458 | 22 | < 0.1% |
| 0.002875 | 22 | < 0.1% |
| 0.001325 | 21 | < 0.1% |
| 0.001897 | 21 | < 0.1% |
| 0.00214 | 21 | < 0.1% |
| Other values (24988) | 82395 |
| Value | Count | Frequency (%) |
| 7 × 10-6 | 1 | |
| 1.5 × 10-5 | 1 | |
| 2.1 × 10-5 | 1 | |
| 2.3 × 10-5 | 1 | |
| 2.6 × 10-5 | 1 | |
| 3.7 × 10-5 | 2 | |
| 4 × 10-5 | 2 | |
| 4.9 × 10-5 | 1 | |
| 5.1 × 10-5 | 2 | |
| 5.3 × 10-5 | 1 |
| Value | Count | Frequency (%) |
| 6.2236 | 1 | |
| 5.7518 | 1 | |
| 5.1321 | 1 | |
| 5.1244 | 1 | |
| 4.725 | 1 | |
| 4.4728 | 1 | |
| 3.8671 | 1 | |
| 3.8407 | 1 | |
| 3.7297 | 1 | |
| 3.667 | 1 |
| Distinct | 46057 |
|---|---|
| Distinct (%) | 55.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.05639586635 |
| Minimum | 4.1 × 10-5 |
|---|---|
| Maximum | 7.3434 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 4.1 × 10-5 |
|---|---|
| 5-th percentile | 0.002862 |
| Q1 | 0.00804775 |
| median | 0.016788 |
| Q3 | 0.039721 |
| 95-th percentile | 0.1879935 |
| Maximum | 7.3434 |
| Range | 7.343359 |
| Interquartile range (IQR) | 0.03167325 |
Descriptive statistics
| Standard deviation | 0.1921514678 |
|---|---|
| Coefficient of variation (CV) | 3.407190637 |
| Kurtosis | 226.3883246 |
| Mean | 0.05639586635 |
| Median Absolute Deviation (MAD) | 0.011033 |
| Skewness | 12.38076684 |
| Sum | 4659.426478 |
| Variance | 0.03692218657 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.00359 | 11 | < 0.1% |
| 0.007273 | 10 | < 0.1% |
| 0.003818 | 10 | < 0.1% |
| 0.008101 | 10 | < 0.1% |
| 0.008011 | 10 | < 0.1% |
| 0.009364 | 10 | < 0.1% |
| 0.006442 | 9 | < 0.1% |
| 0.011253 | 9 | < 0.1% |
| 0.006983 | 9 | < 0.1% |
| 0.005705 | 9 | < 0.1% |
| Other values (46047) | 82523 |
| Value | Count | Frequency (%) |
| 4.1 × 10-5 | 1 | |
| 4.5 × 10-5 | 1 | |
| 5.2 × 10-5 | 1 | |
| 5.4 × 10-5 | 1 | |
| 0.000116 | 1 | |
| 0.000123 | 1 | |
| 0.000131 | 1 | |
| 0.000136 | 1 | |
| 0.00014 | 1 | |
| 0.000147 | 1 |
| Value | Count | Frequency (%) |
| 7.3434 | 1 | |
| 6.1707 | 1 | |
| 5.8513 | 1 | |
| 5.5542 | 1 | |
| 5.4406 | 1 | |
| 5.4296 | 1 | |
| 5.1948 | 1 | |
| 5.1723 | 1 | |
| 5.0398 | 1 | |
| 4.9006 | 1 |
| Distinct | 59637 |
|---|---|
| Distinct (%) | 72.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8687536602 |
| Minimum | 0.001921 |
|---|---|
| Maximum | 32.103 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 0.001921 |
|---|---|
| 5-th percentile | 0.07475985 |
| Q1 | 0.2387275 |
| median | 0.495025 |
| Q3 | 0.96809 |
| 95-th percentile | 2.76052 |
| Maximum | 32.103 |
| Range | 32.101079 |
| Interquartile range (IQR) | 0.7293625 |
Descriptive statistics
| Standard deviation | 1.406888678 |
|---|---|
| Coefficient of variation (CV) | 1.619433382 |
| Kurtosis | 97.10888775 |
| Mean | 0.8687536602 |
| Median Absolute Deviation (MAD) | 0.309605 |
| Skewness | 7.536650681 |
| Sum | 71776.42741 |
| Variance | 1.979335753 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.015 | 9 | < 0.1% |
| 1.0227 | 9 | < 0.1% |
| 1.1421 | 8 | < 0.1% |
| 1.0231 | 8 | < 0.1% |
| 1.0172 | 8 | < 0.1% |
| 1.2973 | 8 | < 0.1% |
| 1.0122 | 8 | < 0.1% |
| 1.1736 | 8 | < 0.1% |
| 1.0552 | 8 | < 0.1% |
| 0.43509 | 7 | < 0.1% |
| Other values (59627) | 82539 |
| Value | Count | Frequency (%) |
| 0.001921 | 1 | |
| 0.003137 | 1 | |
| 0.003164 | 1 | |
| 0.003299 | 1 | |
| 0.003455 | 1 | |
| 0.003671 | 1 | |
| 0.003718 | 1 | |
| 0.003872 | 1 | |
| 0.004079 | 1 | |
| 0.004195 | 1 |
| Value | Count | Frequency (%) |
| 32.103 | 1 | |
| 31.914 | 1 | |
| 31.601 | 1 | |
| 31.22 | 1 | |
| 31.16 | 1 | |
| 30.915 | 1 | |
| 30.227 | 1 | |
| 30.186 | 1 | |
| 30.045 | 1 | |
| 29.767 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 MiB |
| abnormal | |
|---|---|
| normal |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 7.441176471 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | normal |
|---|---|
| 2nd row | normal |
| 3rd row | normal |
| 4th row | normal |
| 5th row | normal |
Common Values
| Value | Count | Frequency (%) |
| abnormal | 59535 | |
| normal | 23085 | 27.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| abnormal | 59535 | |
| normal | 23085 | 27.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| id | TimeStamp | signal_1 | signal_10 | signal_20 | signal_30 | signal_40 | signal_50 | signal_60 | class | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0.000949 | 0.000708 | 0.001833 | 0.001991 | 0.002956 | 0.003971 | 0.045608 | normal |
| 1 | 0 | 1 | 0.001488 | 0.000268 | 0.001362 | 0.001354 | 0.003213 | 0.006658 | 0.119800 | normal |
| 2 | 0 | 2 | 0.000314 | 0.000971 | 0.001878 | 0.000788 | 0.006884 | 0.028676 | 0.178130 | normal |
| 3 | 0 | 3 | 0.000995 | 0.000652 | 0.001034 | 0.001069 | 0.008211 | 0.042023 | 0.150210 | normal |
| 4 | 0 | 4 | 0.002099 | 0.000715 | 0.000287 | 0.001851 | 0.004301 | 0.033362 | 0.066619 | normal |
| 5 | 0 | 5 | 0.001732 | 0.000710 | 0.001495 | 0.003441 | 0.002505 | 0.011453 | 0.058796 | normal |
| 6 | 0 | 6 | 0.002043 | 0.001082 | 0.001638 | 0.004016 | 0.002598 | 0.007495 | 0.119240 | normal |
| 7 | 0 | 7 | 0.000955 | 0.001737 | 0.001358 | 0.002722 | 0.002879 | 0.012507 | 0.189890 | normal |
| 8 | 0 | 8 | 0.000379 | 0.002104 | 0.001646 | 0.001793 | 0.003712 | 0.013591 | 0.218120 | normal |
| 9 | 0 | 9 | 0.001024 | 0.001430 | 0.002018 | 0.001473 | 0.002777 | 0.012674 | 0.161990 | normal |
Last rows
| id | TimeStamp | signal_1 | signal_10 | signal_20 | signal_30 | signal_40 | signal_50 | signal_60 | class | |
|---|---|---|---|---|---|---|---|---|---|---|
| 82610 | 203 | 395 | 0.001729 | 0.017251 | 0.005441 | 0.005593 | 0.011744 | 0.019469 | 0.405610 | abnormal |
| 82611 | 203 | 396 | 0.002331 | 0.012911 | 0.003514 | 0.004291 | 0.013561 | 0.012848 | 0.362570 | abnormal |
| 82612 | 203 | 397 | 0.002403 | 0.011383 | 0.002623 | 0.001966 | 0.010645 | 0.016564 | 0.264460 | abnormal |
| 82613 | 203 | 398 | 0.002287 | 0.013646 | 0.002653 | 0.001110 | 0.008032 | 0.025200 | 0.139670 | abnormal |
| 82614 | 203 | 399 | 0.004184 | 0.016075 | 0.002892 | 0.000882 | 0.005224 | 0.030171 | 0.099499 | abnormal |
| 82615 | 203 | 400 | 0.005072 | 0.017248 | 0.000576 | 0.001486 | 0.004470 | 0.030305 | 0.131550 | abnormal |
| 82616 | 203 | 401 | 0.005831 | 0.012985 | 0.002832 | 0.003192 | 0.003783 | 0.018230 | 0.177930 | abnormal |
| 82617 | 203 | 402 | 0.007455 | 0.005576 | 0.003974 | 0.003595 | 0.001619 | 0.007874 | 0.158690 | abnormal |
| 82618 | 203 | 403 | 0.008124 | 0.006673 | 0.002046 | 0.002131 | 0.003042 | 0.006607 | 0.068071 | abnormal |
| 82619 | 203 | 404 | 0.007120 | 0.009871 | 0.000799 | 0.003176 | 0.002788 | 0.010603 | 0.130330 | abnormal |